| User | MrCrispr |
| Upload Date | February 01 2026 05:27 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5705
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
6031
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
14910
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7986
129.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9206
149.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
22379
362.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29454
34.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29257
34.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
123011
144.0 IPS |
|
|
Object Detection (SP)
|
100% |
6725
533.4 IPS |
|
|
Object Detection (HP)
|
100% |
6924
549.2 IPS |
|
|
Object Detection (Q)
|
88% |
16860
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
14803
175.9 IPS |
|
|
Face Detection (HP)
|
100% |
14699
174.7 IPS |
|
|
Face Detection (Q)
|
100% |
42919
510.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20228
155.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19098
147.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
57036
443.9 IPS |
|
|
Style Transfer (SP)
|
100% |
74836
96.2 IPS |
|
|
Style Transfer (HP)
|
100% |
73818
94.9 IPS |
|
|
Style Transfer (Q)
|
98% |
273981
353.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13470
497.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13484
497.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33215
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
92% |
5098
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
6383
109.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6523
112.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7298
125.7 IPS |